🧠 28-Day AI Mastery Course (Multi-Tool Stack)

 WEEK 1 — Core AI Thinking + Text Intelligence (Days 1–7)

Goal: Learn how to think, prompt, compare, and control foundational AI models.

Tools:

ChatGPT
Anthropic (Claude)
Google DeepMind (Gemini)
Perplexity AI
GitHub Copilot

Day 1–2: AI Foundations

• What LLMs actually do (patterns, not knowledge)

• Prompt structure: role → context → task → output format

• ChatGPT vs Claude vs Gemini thinking styles

Exercise:
Ask all 3 models the same question → compare reasoning style differences.

Day 3–4: Research + Truth Systems

• Perplexity for citation-based research

• Cross-checking hallucinations across models

• Building “multi-AI verification thinking”

Exercise:
Research one topic using Perplexity → validate using ChatGPT + Gemini.

Day 5–6: Structured Output + Productivity

• Turning AI into assistants (email, planning, scripts)

• Formatting outputs: tables, frameworks, SOPs

• Copilot for structured technical or document work

Exercise:
Create a personal productivity system (weekly planner using AI).

Day 7: Integration Day

• Compare all tools in one workflow:

  • Claude = reasoning

  • ChatGPT = execution

  • Gemini = synthesis

  • Perplexity = truth check

 WEEK 2 — Creative AI + Content Systems (Days 8–14)

Goal: Move from “using AI” → “creating with AI”.

Tools:

xAI (Grok)
DeepSeek
Moonshot AI (Kimi)
Canva
Meta Platforms (creative tools ecosystem)
Lovable (AI app builder)
Manus / Nano Banana (agent-style creative tools)

Day 8–9: AI for Ideation

• Grok for real-time trend thinking

• DeepSeek for structured reasoning alternatives

• Kimi for long-context summarisation

Exercise:
Generate 20 content ideas for one niche (compare tools’ creativity styles)

Day 10–11: Design + Visual Creation

• Canva AI workflows (branding, social posts)

• Prompting for visual identity systems

• Turning text → brand kits

Exercise:
Create a full brand kit (logo concept, colors, social templates)

Day 12–13: AI Apps + Builders

• Lovable-style app generation (idea → prototype)

• Manus / agent tools for workflow automation

• Meta ecosystem thinking (distribution mindset)

Exercise:
Build a simple AI-powered landing page or micro-app concept

Day 14: Content Engine Day

• Combine ideation + design + writing

• Build a 7-day content calendar in one session

 WEEK 3 — AI Systems, Agents & Automation (Days 15–21)

Goal: Turn AI into a system that does work without you.

Focus:

• Multi-model orchestration

• Prompt chaining

• Workflow design

• Automation thinking

Day 15–16: Workflow Architecture

• Breaking tasks into AI steps

• “Input → process → output” design

• Choosing the right AI per step

Day 17–18: Agent Thinking

• When AI acts like a worker, not a tool

• Planning multi-step tasks

• Memory + context management

Exercise:
Design an AI “assistant employee” (e.g. content manager, sales assistant)

Day 19–20: Knowledge Systems

• Build personal AI knowledge base

• Summarisation pipelines (Kimi + Claude style reasoning)

• Research → insight → action loops

Day 21: Automation Prototype

• Create a full AI workflow:

  • Idea generation

  • Research

  • Writing

  • Formatting

  • Output delivery

 WEEK 4 — Multimodal AI (Video, Image, Narrative) (Days 22–28)

Goal: Move into next-gen AI: video, storytelling, immersive content.

Tools:

• Sora

• Google DeepMind (Veo models)

• Kling AI

• Canva AI video tools

• Meta creative tools ecosystem

Day 22–23: AI Video Foundations

• Text → video storytelling

• Scene prompting (not just prompts, but shots)

Exercise:
Create a 30–60 sec story video concept (3 scenes)

Day 24–25: Cinematic Prompting

• Camera movement language

• Lighting, tone, pacing

• Narrative structuring for AI video

Day 26: Multi-Tool Video Pipeline

• Script (ChatGPT/Claude)

• Visual plan (Gemini/Perplexity)

• Video generation (Sora/Veo/Kling)

• Editing (Canva)

Day 27: Personal Brand Content System

• Build a content pipeline for:

  • LinkedIn

  • TikTok/Reels

  • YouTube Shorts

Day 28: Capstone Project

Create a full AI production system:

• Idea → research → script → design → video → distribution

Output examples:

• Mini digital course

• Coaching funnel

• Personal brand engine

• Startup prototype

 Final Outcome of the 28 Days

By the end, you are not “using AI tools” anymore. You are:

• Running multi-AI workflows

• Producing content systems, not content pieces

• Building automated creative pipelines

• Thinking like a director of AI agents